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pro vyhledávání: '"Tzeng, Jung-Ying"'
Genetic association analyses of rare variants in next-generation sequencing (NGS) studies are fundamentally challenging due to the presence of a very large number of candidate variants at extremely low minor allele frequencies. Recent developments of
Externí odkaz:
http://hdl.handle.net/10150/618985
http://arizona.openrepository.com/arizona/handle/10150/618985
http://arizona.openrepository.com/arizona/handle/10150/618985
Autor:
Chi, Jocelyn T., Ipsen, Ilse C. F., Hsiao, Tzu-Hung, Lin, Ching-Heng, Wang, Li-San, Lee, Wan-Ping, Lu, Tzu-Pin, Tzeng, Jung-Ying
The explosion of biobank data offers immediate opportunities for gene-environment (GxE) interaction studies of complex diseases because of the large sample sizes and the rich collection in genetic and non-genetic information. However, the extremely l
Externí odkaz:
http://arxiv.org/abs/2105.03228
Testing the association between SNP effects and a response is a common task. Such tests are often carried out through kernel machine methods based on least squares, such as the Sequence Kernel Association Test (SKAT). However, these least squares pro
Externí odkaz:
http://arxiv.org/abs/1901.09419
This paper addresses the challenge of efficiently capturing a high proportion of true signals for subsequent data analyses when sample sizes are relatively limited with respect to data dimension. We propose the signal missing rate as a new measure fo
Externí odkaz:
http://arxiv.org/abs/1805.10570
Yang et al. (2013) introduced LORS, a method that jointly models the expression of genes, SNPs, and hidden factors for eQTL mapping. LORS solves a convex optimization problem and has guaranteed convergence. However, it can be computationally expensiv
Externí odkaz:
http://arxiv.org/abs/1805.05170
Genome-wide eQTL mapping explores the relationship between gene expression values and DNA variants to understand genetic causes of human disease. Due to the large number of genes and DNA variants that need to be assessed simultaneously, current metho
Externí odkaz:
http://arxiv.org/abs/1804.02737
Publikováno v:
Annals of Applied Statistics 2014, Vol. 8, No. 2, 1232-1255
Gene/pathway-based methods are drawing significant attention due to their usefulness in detecting rare and common variants that affect disease susceptibility. The biological mechanism of drug responses indicates that a gene-based analysis has even gr
Externí odkaz:
http://arxiv.org/abs/1408.0083
Akademický článek
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Autor:
Chang, Sheng-Mao, Tsai, Hui-Ju, Tzeng, Jung-Ying, Yeh, Kuo-Wei, Chen, Li-Chen, Lai, Shen-Hao, Liao, Sui-Ling, Hua, Man-Chin, Tsai, Ming-Han, Huang, Jing-Long, Yao, Tsung-Chieh
Publikováno v:
In World Allergy Organization Journal November 2019 12(11)
A daunting challenge faced by modern biological sciences is finding an efficient and computationally feasible approach to deal with the curse of high dimensionality. The problem becomes even more severe when the research focus is on interactions. To
Externí odkaz:
http://arxiv.org/abs/1304.3769